The Architecture of Deep Thought: Fight AI Speed with Cognitive Friction
He isn’t doing prompt engineering like a drunken monkey; he writes master plans, lets his agents do the heavy lifting, and tells them to ping him only when a human intervention is needed.But the real issue here isn’t velocity. AI agents can spit out code at a breathtaking pace, but our brains haven’t evolved over the past year to match the speed of the latest Nvidia chips. How do you even understand what’s going on at that speed?
- ▪He isn’t doing prompt engineering like a drunken monkey; he writes master plans, lets his agents do the heavy lifting, and tells them to ping him only when a human intervention is needed.But the real issue here isn’t velocity.
- ▪AI agents can spit out code at a breathtaking pace, but our brains haven’t evolved over the past year to match the speed of the latest Nvidia chips.
- ▪How do you even understand what’s going on at that speed?
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The Architecture of Deep Thought: Why We Must Fight AI Speed with Cognitive FrictionOn protecting deep thought in an age of instant output जयकृष्णः | ജയകൃഷ്ണൻJun 28, 20261011ShareBy https://wellcomeimages.org/indexplus/obf_images/93/b6/59f7f1d7bf2d54d2966d5fdd3d5c.jpgGallery: https://wellcomeimages.org/indexplus/image/L0070805.htmlWellcome Collection gallery (2018-04-02): https://wellcomecollection.org/works/ptcfej7j CC-BY-4.0, CC BY 4.0, https://commons.wikimedia.org/w/index.php?curid=36267683Recently, the creator of Claude Code shared a glimpse into his workflow, and it is wild: by running multiple AI sessions in parallel and intervening only when a human sign-off is needed, he knocks out 50 to 100 code changes a week. That is an insane level of productivity.
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